The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand
E424750
"The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand" is an economics research paper analyzing how different types of AI technologies affect labor demand, employment, and wage dynamics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4256350 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand Context triple: [Pascal Restrepo, hasPublication, The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand]
-
A.
Frisch elasticity of labor supply
The Frisch elasticity of labor supply is an economic measure that captures how responsive individuals’ labor supply is to changes in wages when their expected lifetime wealth is held constant.
-
B.
Learning and Labor
Learning and Labor is the historic motto of Oberlin College, reflecting its emphasis on combining rigorous academic study with practical work and social responsibility.
-
C.
Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?
"Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?" is an influential macroeconomics paper by Jordi Galí that empirically investigates how technology shocks affect employment and output over the business cycle.
-
D.
Activity Analysis of Production and Allocation
"Activity Analysis of Production and Allocation" is a foundational work in mathematical economics that develops linear programming and activity analysis methods to study production efficiency and resource allocation.
-
E.
American Economic Journal: Applied Economics
American Economic Journal: Applied Economics is a peer-reviewed academic journal focusing on empirical microeconomic research and real-world policy applications.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand Target entity description: "The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand" is an economics research paper analyzing how different types of AI technologies affect labor demand, employment, and wage dynamics.
-
A.
Frisch elasticity of labor supply
The Frisch elasticity of labor supply is an economic measure that captures how responsive individuals’ labor supply is to changes in wages when their expected lifetime wealth is held constant.
-
B.
Learning and Labor
Learning and Labor is the historic motto of Oberlin College, reflecting its emphasis on combining rigorous academic study with practical work and social responsibility.
-
C.
Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?
"Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?" is an influential macroeconomics paper by Jordi Galí that empirically investigates how technology shocks affect employment and output over the business cycle.
-
D.
Activity Analysis of Production and Allocation
"Activity Analysis of Production and Allocation" is a foundational work in mathematical economics that develops linear programming and activity analysis methods to study production efficiency and resource allocation.
-
E.
American Economic Journal: Applied Economics
American Economic Journal: Applied Economics is a peer-reviewed academic journal focusing on empirical microeconomic research and real-world policy applications.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic article
ⓘ
economics research paper ⓘ working paper ⓘ |
| addresses |
future of work
ⓘ
policy implications of AI-driven labor market change ⓘ technological unemployment concerns ⓘ |
| aimsTo |
clarify conditions under which AI increases labor demand
ⓘ
clarify conditions under which AI reduces labor demand ⓘ distinguish different kinds of AI from a labor demand perspective ⓘ inform policy debates on AI and employment ⓘ |
| analyzes |
complementarity between AI and human labor
ⓘ
different types of AI technologies ⓘ task automation by AI ⓘ |
| concerns |
human capital and reskilling needs
ⓘ
long-run evolution of labor demand ⓘ occupational reallocation due to AI ⓘ short-run adjustment costs in labor markets ⓘ |
| examines |
distributional consequences of AI adoption
ⓘ
heterogeneous effects of AI across occupations ⓘ heterogeneous effects of AI across skill groups ⓘ how AI complements human tasks ⓘ how AI substitutes for human tasks ⓘ impact of AI on productivity and labor share ⓘ |
| focusesOn |
employment structure
ⓘ
labor market outcomes ⓘ skill demand ⓘ task-based view of production ⓘ wage dynamics ⓘ |
| hasField |
artificial intelligence
ⓘ
labor economics ⓘ macroeconomics ⓘ technological change ⓘ |
| isAbout | artificial intelligence and the future of labor demand ⓘ |
| language | English ⓘ |
| relatesTo |
automation technologies
ⓘ
digital technologies ⓘ industrial organization of AI adoption ⓘ inequality and wage dispersion ⓘ |
| studies |
effects of AI on employment
ⓘ
effects of AI on labor demand ⓘ effects of AI on wages ⓘ |
| titleContains | Artificial Intelligence and the Future of Labor Demand NERFINISHED ⓘ |
| usesConcept |
automation potential of tasks
ⓘ
complementarity between capital and labor ⓘ routine-biased technological change ⓘ skill-biased technological change ⓘ task content of occupations ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand Description of subject: "The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand" is an economics research paper analyzing how different types of AI technologies affect labor demand, employment, and wage dynamics.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
Pascal Restrepo
→
hasPublication
→
The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand
ⓘ
Pascal Restrepo
→
authorOf
→
The Wrong Kind of AI? Artificial Intelligence and the Future of Labor Demand
ⓘ